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粉质黏土图像的纹理特征分析
引用本文:徐金明,羌培,张鹏飞. 粉质黏土图像的纹理特征分析[J]. 岩土力学, 2009, 30(10): 2903-2907
作者姓名:徐金明  羌培  张鹏飞
作者单位:1.上海大学 土木工程系,上海 200072;2.上海世博土地控股有限公司,上海 200125
基金项目:国家自然科学基金,上海市教委科技创新项目 
摘    要:粉质黏土通常为絮状结构, 难以使用肉眼直接判别出颗粒的形状和大小。将现场拍摄得到的粉质黏土彩色图像转化为灰度图像,得到了灰度图像灰度直方图的6个纹理特征参数(均值、方差、平滑度、3阶矩、能量、熵)。在建立灰度共生矩阵的基础上,得到了像素平面分布关系的5个纹理特征参数(角2阶矩、对比度、相关度、逆差矩、熵)。对这些纹理特征参数与粉质黏土传统工程性质指标进行了多元线性回归分析,得到了相应回归方程。结果表明,粉质黏土图像的纹理特征参数与传统工程性质具有较好的对应关系,可以用于快速确定粉质黏土的工程性质指标,对软土地区岩土工程设计具有一定的参考价值。

关 键 词:粉质黏土  纹理  图像分析  直方图  灰度共生矩阵  多元线性回归分析  
收稿时间:2008-01-10

Texture analysis of photographs of silty clay
XU Jin-ming,QIANG Pei,ZHANG Peng-fei. Texture analysis of photographs of silty clay[J]. Rock and Soil Mechanics, 2009, 30(10): 2903-2907
Authors:XU Jin-ming  QIANG Pei  ZHANG Peng-fei
Affiliation:1. Department of Civil Engineering, Shanghai University, Shanghai 200072, China; 2. Shanghai World EXPO Land Holding Co., Ltd., Shanghai 200125, China
Abstract:Silty clay is a typical soft soil and characterized with its coagulation structure. In the field, it is very difficult to directly determine the shape and size of a grain in the silty clay by eyes. Some colorful photographs of the silty clay were captured by a commercial camera and transformed into grayscale images. To these grayscale images, the six histogram-based parameters, including mean, standard deviation, smoothness, third order moment, energy and entropy, were thereafter obtained. Considering the spatial relations of grayscale intensity in an image, five parameters, including angularity second order moment, contrast, correlation, inverse difference moment and entropy, are also obtained based on a gray co-occurrence matrix. Furthermore, the regression technique was used to estimate the relations between the texture parameters and the traditional engineering properties of silty clays. It is shown that these relations are much satisfactory and may be used in quickly examining the engineering properties of silty clay. The method developed is referable to the geotechnical design in soft grounds.
Keywords:silty clay  texture  image analysis  histogram  gray co-occurrence matrix  multiple linear regression
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